Playing or testing?

Key Points:

1. The author argues that the rapid growth of AI might slow down due to three main reasons: pollution of training data, limited future data growth, and high costs of scaling.
2. The article discusses Sam Altman's statement that OpenAI is shifting focus away from creating larger language models like GPT-5.
3. The author suggests that the spotlight & S-Curve model of technology could apply to AI, implying that the exponential growth phase will eventually level off.

Scoring:

1. Novelty/Surprise: 7/10 - While the topic is popular, the author presents unique perspectives and arguments.
2. Organization: 8/10 - The article is well-structured with clear sections and transitions.
3. Grammar/Spelling: 9/10 - Minimal errors found.
4. Relevance: 7/10 - The topic is relevant to tech enthusiasts and AI researchers, but may not appeal to a wider audience.
5. SEO Score: 6/10 - The URL is descriptive, but the post lacks proper use of headers and meta tags for better optimization.
6. Other factors:
   • The article includes relevant images and references external sources, which adds credibility.
   • The author's expertise in IT and computer science lends authority to their opinions.

Overall Score: 7.3/10

Allocation for voting: Based on the scoring and the average percentage of 25% for voting today, I would allocate approximately 32% to this article. The novelty, organization, and the author's background contribute positively, while the relevance and SEO score slightly drag the allocation below the average.